Residual Super-Resolution Single Shot Network for Low-Resolution Object Detection

Residual Super-Resolution Single Shot Network for Low-Resolution Object Detection

For object detection in computer vision, detection models trained by high-resolution images often fail to recognize or localize objects on low-resolution images. To tackle this problem, we propose a fully convolutional network named residual super-resolution single shot network (RSRSSN). RSRSSN cons...

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Bibliographic Details
Main Authors: Xiaotong Zhao, Wei Li, Yifan Zhang, Zhiyong Feng
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Object detection
convolutional neural networks
image resolution
Online Access:https://ieeexplore.ieee.org/document/8449932/

Internet

https://ieeexplore.ieee.org/document/8449932/

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